Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "238" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 74 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 72 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459890 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.009374 | -0.856198 | 1.662931 | 1.163785 | -0.969976 | -0.304062 | -1.050260 | -1.133132 | 0.6581 | 0.6525 | 0.4048 | nan | nan |
| 2459889 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.184646 | -0.656916 | 1.481099 | 0.718658 | -0.776129 | -0.815133 | -2.094615 | -2.171698 | 0.6646 | 0.6542 | 0.4024 | nan | nan |
| 2459888 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.221475 | -0.703360 | 1.592114 | 1.171487 | -0.131447 | -0.723836 | -0.121377 | -0.606445 | 0.6746 | 0.6687 | 0.3996 | nan | nan |
| 2459887 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.105397 | -0.862212 | 0.581871 | 0.441729 | -1.912291 | -1.121057 | -0.676014 | -0.964506 | 0.6640 | 0.6568 | 0.4041 | nan | nan |
| 2459886 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.364095 | -0.610860 | 1.161929 | 0.923016 | -0.491505 | -0.134436 | -0.363263 | -0.497376 | 0.7450 | 0.7314 | 0.3464 | nan | nan |
| 2459885 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.606812 | 0.664057 | 28.477064 | 27.805579 | 3.573798 | 5.594060 | 8.352222 | 4.306204 | 0.7044 | 0.6924 | 0.3722 | nan | nan |
| 2459884 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.095029 | -1.026833 | 1.553711 | 1.183016 | -0.231218 | -0.711797 | -0.897926 | -1.625520 | 0.6714 | 0.6595 | 0.4032 | nan | nan |
| 2459883 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459882 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.094339 | 1.505651 | 29.045358 | 27.756370 | 1.982166 | 4.074097 | -0.857734 | -0.934526 | 0.6661 | 0.6565 | 0.3974 | nan | nan |
| 2459881 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.418153 | 0.583713 | 32.882664 | 31.844835 | 4.202679 | 7.083379 | -2.045289 | -0.093810 | 0.7120 | 0.7158 | 0.3338 | nan | nan |
| 2459880 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.523695 | 0.645866 | 26.330867 | 26.225967 | 1.381568 | 3.268067 | -0.767669 | -1.427460 | 0.6663 | 0.6638 | 0.4034 | nan | nan |
| 2459879 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.656984 | -1.253362 | -0.875650 | -1.227974 | -2.093194 | -1.568432 | -2.100465 | -2.357726 | 0.6535 | 0.6593 | 0.4174 | nan | nan |
| 2459878 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.756941 | 0.816255 | 32.369278 | 32.421715 | 2.635284 | 5.360153 | -2.110097 | -3.341329 | 0.6588 | 0.6653 | 0.4096 | nan | nan |
| 2459876 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.571300 | 0.827792 | 22.982431 | 22.024119 | 7.315081 | 12.814282 | -2.466572 | -3.055578 | 0.6846 | 0.6586 | 0.4013 | nan | nan |
| 2459875 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.129932 | 0.336113 | 30.976791 | 30.011009 | 2.991797 | 6.273735 | -0.745748 | 1.711672 | 0.6868 | 0.6743 | 0.4053 | nan | nan |
| 2459874 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.054991 | 1.439405 | 17.605474 | 16.949048 | 5.684939 | 9.553066 | -2.267627 | -3.086869 | 0.6821 | 0.6531 | 0.3961 | nan | nan |
| 2459873 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459872 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.596022 | 0.318735 | 28.598615 | 26.782402 | 4.709814 | 7.641948 | -1.521315 | -2.255472 | 0.6786 | 0.6494 | 0.4105 | nan | nan |
| 2459871 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.753739 | 0.225108 | 29.001718 | 28.127498 | 4.608457 | 6.254023 | -0.678733 | -1.414512 | 0.6880 | 0.6527 | 0.4024 | nan | nan |
| 2459870 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.788108 | 0.760094 | 21.401003 | 20.981398 | 2.858233 | 7.976253 | -1.783318 | -2.687517 | 0.6941 | 0.6612 | 0.4005 | nan | nan |
| 2459869 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.045262 | 0.446301 | 20.880062 | 20.856355 | 4.610630 | 8.174366 | 0.459601 | -0.246713 | 0.6988 | 0.6775 | 0.3957 | nan | nan |
| 2459868 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.610412 | 1.094598 | 32.777994 | 31.834923 | 2.587249 | 4.316445 | -2.367460 | -3.193721 | 0.6809 | 0.6520 | 0.4116 | nan | nan |
| 2459867 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.870916 | 0.486007 | 26.271984 | 25.145121 | 1.289269 | 4.042856 | -1.637017 | -2.370570 | 0.6941 | 0.6585 | 0.4123 | nan | nan |
| 2459866 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.170082 | 0.757192 | 24.456753 | 23.355780 | 1.901557 | 4.826864 | -1.293446 | -1.723449 | 0.6940 | 0.6601 | 0.4059 | nan | nan |
| 2459865 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.135410 | 1.988997 | 31.695492 | 29.192023 | 3.670594 | 6.207988 | 6.074403 | 3.835485 | 0.7066 | 0.6719 | 0.3883 | nan | nan |
| 2459864 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459863 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.452695 | -0.613081 | 1.437668 | 0.782006 | -0.291152 | 0.808027 | -1.994613 | -2.268122 | 0.6891 | 0.6472 | 0.4153 | nan | nan |
| 2459862 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.610097 | -0.235220 | 19.535073 | 17.774981 | 2.717445 | 4.669818 | -1.388011 | -1.673761 | 0.6560 | 0.6614 | 0.4484 | nan | nan |
| 2459861 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.072452 | -1.200905 | 0.763723 | 0.054698 | -1.260830 | -1.240192 | -2.289298 | -2.628972 | 0.6969 | 0.6536 | 0.4321 | nan | nan |
| 2459860 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.762470 | -0.563968 | 15.167671 | 14.326943 | 4.048510 | 7.268102 | -1.338003 | -2.020414 | 0.7063 | 0.6568 | 0.4248 | nan | nan |
| 2459859 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.220368 | -1.223990 | 0.455143 | -0.134185 | -1.151254 | -1.738171 | -1.571688 | -1.740041 | 0.7120 | 0.6637 | 0.4189 | nan | nan |
| 2459858 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.569838 | -1.550056 | 0.000856 | -0.554361 | -1.478313 | -1.301295 | -2.294443 | -2.494133 | 0.7214 | 0.6686 | 0.4354 | 3.199567 | 2.750423 |
| 2459857 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 3.012339 | 3.318139 | 2.619012 | 2.096577 | 0.484416 | 4.557891 | -0.853757 | -1.005507 | 0.0292 | 0.0290 | 0.0006 | nan | nan |
| 2459856 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.678512 | 0.057587 | 14.074090 | 13.624615 | 1.550514 | 4.842894 | -2.256953 | -2.600673 | 0.7121 | 0.6815 | 0.4176 | 2.715906 | 2.414311 |
| 2459855 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.466359 | -0.242733 | 15.689943 | 15.096037 | -0.125476 | 2.624229 | -1.509379 | -1.887304 | 0.6955 | 0.7004 | 0.4511 | 2.733926 | 2.493361 |
| 2459854 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.386123 | -0.578671 | 13.326959 | 12.879301 | -0.110148 | 1.213622 | -0.942477 | -1.258778 | 0.7109 | 0.7327 | 0.4576 | 3.152133 | 2.644854 |
| 2459853 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.156052 | -0.122920 | 17.226802 | 16.413602 | 1.793556 | 4.600765 | -2.037081 | -2.623310 | 0.7390 | 0.6746 | 0.4412 | 3.159949 | 2.712515 |
| 2459852 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459851 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459850 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.337256 | 0.963328 | 16.271830 | 15.221391 | 2.392063 | 7.254904 | -0.929867 | 4.931012 | 0.7387 | 0.7385 | 0.3683 | 3.009231 | 2.646022 |
| 2459849 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.093992 | 0.527048 | 32.539834 | 31.673429 | 0.965543 | 5.094948 | -2.302572 | -2.388721 | 0.7370 | 0.7315 | 0.3708 | 3.944183 | 3.231384 |
| 2459848 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.748961 | 6.615151 | 23.433958 | 32.256846 | 3.537542 | 16.025262 | -1.896098 | -3.421437 | 0.7137 | 0.7234 | 0.3968 | 3.403027 | 2.831838 |
| 2459847 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.223058 | 5.690637 | 22.154786 | 30.302998 | 4.097057 | 17.382281 | -1.287089 | -3.297666 | 0.7235 | 0.6565 | 0.4521 | 6.773002 | 4.760554 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 1.662931 | -0.856198 | -0.009374 | 1.163785 | 1.662931 | -0.304062 | -0.969976 | -1.133132 | -1.050260 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 1.481099 | 0.184646 | -0.656916 | 1.481099 | 0.718658 | -0.776129 | -0.815133 | -2.094615 | -2.171698 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 1.592114 | -0.703360 | 0.221475 | 1.171487 | 1.592114 | -0.723836 | -0.131447 | -0.606445 | -0.121377 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 0.581871 | -0.862212 | -0.105397 | 0.441729 | 0.581871 | -1.121057 | -1.912291 | -0.964506 | -0.676014 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 1.161929 | -0.364095 | -0.610860 | 1.161929 | 0.923016 | -0.491505 | -0.134436 | -0.363263 | -0.497376 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 28.477064 | 0.664057 | 1.606812 | 27.805579 | 28.477064 | 5.594060 | 3.573798 | 4.306204 | 8.352222 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 1.553711 | -1.026833 | 0.095029 | 1.183016 | 1.553711 | -0.711797 | -0.231218 | -1.625520 | -0.897926 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 29.045358 | 1.505651 | 2.094339 | 27.756370 | 29.045358 | 4.074097 | 1.982166 | -0.934526 | -0.857734 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 32.882664 | 0.583713 | 1.418153 | 31.844835 | 32.882664 | 7.083379 | 4.202679 | -0.093810 | -2.045289 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 26.330867 | 0.645866 | 1.523695 | 26.225967 | 26.330867 | 3.268067 | 1.381568 | -1.427460 | -0.767669 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Shape | -0.656984 | -1.253362 | -0.656984 | -1.227974 | -0.875650 | -1.568432 | -2.093194 | -2.357726 | -2.100465 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | nn Power | 32.421715 | 0.816255 | 1.756941 | 32.421715 | 32.369278 | 5.360153 | 2.635284 | -3.341329 | -2.110097 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 22.982431 | 1.571300 | 0.827792 | 22.982431 | 22.024119 | 7.315081 | 12.814282 | -2.466572 | -3.055578 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 30.976791 | 1.129932 | 0.336113 | 30.976791 | 30.011009 | 2.991797 | 6.273735 | -0.745748 | 1.711672 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 17.605474 | 3.054991 | 1.439405 | 17.605474 | 16.949048 | 5.684939 | 9.553066 | -2.267627 | -3.086869 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 28.598615 | 0.318735 | 0.596022 | 26.782402 | 28.598615 | 7.641948 | 4.709814 | -2.255472 | -1.521315 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 29.001718 | 0.225108 | 0.753739 | 28.127498 | 29.001718 | 6.254023 | 4.608457 | -1.414512 | -0.678733 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 21.401003 | 1.788108 | 0.760094 | 21.401003 | 20.981398 | 2.858233 | 7.976253 | -1.783318 | -2.687517 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 20.880062 | 2.045262 | 0.446301 | 20.880062 | 20.856355 | 4.610630 | 8.174366 | 0.459601 | -0.246713 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 32.777994 | 1.610412 | 1.094598 | 32.777994 | 31.834923 | 2.587249 | 4.316445 | -2.367460 | -3.193721 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 26.271984 | 0.870916 | 0.486007 | 26.271984 | 25.145121 | 1.289269 | 4.042856 | -1.637017 | -2.370570 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 24.456753 | 0.757192 | 1.170082 | 23.355780 | 24.456753 | 4.826864 | 1.901557 | -1.723449 | -1.293446 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 31.695492 | 1.135410 | 1.988997 | 31.695492 | 29.192023 | 3.670594 | 6.207988 | 6.074403 | 3.835485 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 1.437668 | -0.452695 | -0.613081 | 1.437668 | 0.782006 | -0.291152 | 0.808027 | -1.994613 | -2.268122 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 19.535073 | 0.610097 | -0.235220 | 19.535073 | 17.774981 | 2.717445 | 4.669818 | -1.388011 | -1.673761 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 0.763723 | -1.200905 | -0.072452 | 0.054698 | 0.763723 | -1.240192 | -1.260830 | -2.628972 | -2.289298 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 15.167671 | 0.762470 | -0.563968 | 15.167671 | 14.326943 | 4.048510 | 7.268102 | -1.338003 | -2.020414 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 0.455143 | -0.220368 | -1.223990 | 0.455143 | -0.134185 | -1.151254 | -1.738171 | -1.571688 | -1.740041 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 0.000856 | -1.550056 | -0.569838 | -0.554361 | 0.000856 | -1.301295 | -1.478313 | -2.494133 | -2.294443 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | nn Temporal Variability | 4.557891 | 3.318139 | 3.012339 | 2.096577 | 2.619012 | 4.557891 | 0.484416 | -1.005507 | -0.853757 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 14.074090 | 1.678512 | 0.057587 | 14.074090 | 13.624615 | 1.550514 | 4.842894 | -2.256953 | -2.600673 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 15.689943 | -0.242733 | 1.466359 | 15.096037 | 15.689943 | 2.624229 | -0.125476 | -1.887304 | -1.509379 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 13.326959 | -0.578671 | 1.386123 | 12.879301 | 13.326959 | 1.213622 | -0.110148 | -1.258778 | -0.942477 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 17.226802 | -0.122920 | 1.156052 | 16.413602 | 17.226802 | 4.600765 | 1.793556 | -2.623310 | -2.037081 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 16.271830 | 1.337256 | 0.963328 | 16.271830 | 15.221391 | 2.392063 | 7.254904 | -0.929867 | 4.931012 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | ee Power | 32.539834 | 2.093992 | 0.527048 | 32.539834 | 31.673429 | 0.965543 | 5.094948 | -2.302572 | -2.388721 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | nn Power | 32.256846 | 6.615151 | 1.748961 | 32.256846 | 23.433958 | 16.025262 | 3.537542 | -3.421437 | -1.896098 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 238 | N18 | RF_ok | nn Power | 30.302998 | 5.690637 | 1.223058 | 30.302998 | 22.154786 | 17.382281 | 4.097057 | -3.297666 | -1.287089 |